Future collider experiments represent a frontier in particle physics, promising unprecedented insights into the fundamental constituents of the Universe. Tracking and particle identification (PID) are crucial aspects for these experiments. This contribution explores the advancements in tracking techniques tailored for the experiments at the Future Circular Collider (FCC), emphasizing the challenges posed by higher collision energies and particle multiplicities. Innovations in detector technologies, such as high-resolution silicon detectors and ultra light drift chambers with PID capabilities, as proposed for the IDEA detector at FCC, are discussed in details, highlighting their pivotal role in achieving precise momentum measurements and efficient particle identification.
Moreover, the integration of machine learning algorithms for cluster counting and energy loss measurements are discussed for their importance in PID. They will open newavenues for enhancing tracking performance and in coping with the vast data rates expected at future colliders. The contribution concludes with a perspective on the implications of these advancements for the discovery potential and scientific reach of future collider experiments, underlining the collaborative efforts of physicists and engineers in shaping the forefront of particle physics research.